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Absolutely. Using a recommendation algorithm similar to TikTok’s, learn what each specific user are into, and instead of showing content produced by other user

by ElFitz 2y ago

Absolutely. Using a recommendation algorithm similar to TikTok’s, learn what each specific user are into, and instead of showing content produced by other users, produce custom-tailored content on the fly, perfectly matching the type, tone, style, length, and rhythm each user likes. Ideally without making anything up.

yreg 2y ago
> Using a recommendation algorithm similar to TikTok’s How is TTs recommendation system different from YT? Other than suggesting lower quality content that's irresistable?
- ElFitz 2y ago
  In my experience, YouTube’s is much more influenced by the latest videos a user has watched. It’s pretty much always "more of the same". TikTok seems to manage to more quickly identify users’ interests and surface content based on more signals, aggregated over a longer period of time, without relying as much on conscious users’ actions (ie "follow / subscribe"), producing a wider diversity of recommendations. There’s also the odd suggestion every now and then, probably used to gauge a user’s interest in a different category.
shzhdbi09gv8ioi 2y ago
> Ideally without making anything up. I have no idea anymore if this is sarcasm or a straight up belief. What serious professional would gamble on hallucinations?
- ElFitz 2y ago
  The point here isn’t to give users any kind of truth. It already isn’t YouTube goal. Wether we’re talking about the videos or the ads, they’re happy spreading ridiculous nonsense. The only point of these kinds of platforms, for worse and for worse, is to give users what they want. So hallucinations wouldn’t matter, as long as the end result matches users’ preferences.
hooverd 2y ago
Why? Platforms are already bad enough about just suggesting what they think I might like.
- ElFitz 2y ago
  Because this way they don’t have to rely on pesky people to produce content that maximises the engagement and retention of the other pesky people to which they want to show as many ads as possible. I am not implying this is a good thing. Or a bad one. It’s just a step further down the same path we’re already on, while taking an unreliable and costly middle-man (content producing users) out of the picture.
  - hooverd 2y ago
    The AI content mill will sadly never provide me with a 30 minute video on dishwasher detergent or reposted NicoNico gems like this https://www.youtube.com/watch?v=xKljlnfE-GU&pp=ygUJbWlrdSB0Y2Fz https://www.youtube.com/watch?v=xKljlnfE-GU&pp=ygUJbWlrdSB0Y....
    - ElFitz 2y ago
      I never implied it was good thing. Or even something I want. I’m just certain it is an obvious next step given, on one side, these platforms’ goals and incentives, and on the other how generative AI capabilities have progressed in the past couple of years. I’m pretty sure the smart play, if they want diverse, engaging, and surprising content will involve leaving some room for people to create things and somehow reward them for it. But whatever they make won’t only be used as content to show to others, but also as new training data to feed the machine.
mrtesthah 2y ago
Perfect. Once the models are adequately trained, we can do away with the entire "content creator" economy altogether!

by ElFitz 2y ago

yreg 2y ago

> Using a recommendation algorithm similar to TikTok’s How is TTs recommendation system different from YT? Other than suggesting lower quality content that's irresistable?

ElFitz 2y ago
In my experience, YouTube’s is much more influenced by the latest videos a user has watched. It’s pretty much always "more of the same". TikTok seems to manage to more quickly identify users’ interests and surface content based on more signals, aggregated over a longer period of time, without relying as much on conscious users’ actions (ie "follow / subscribe"), producing a wider diversity of recommendations. There’s also the odd suggestion every now and then, probably used to gauge a user’s interest in a different category.

shzhdbi09gv8ioi 2y ago

> Ideally without making anything up. I have no idea anymore if this is sarcasm or a straight up belief. What serious professional would gamble on hallucinations?

ElFitz 2y ago
The point here isn’t to give users any kind of truth. It already isn’t YouTube goal. Wether we’re talking about the videos or the ads, they’re happy spreading ridiculous nonsense. The only point of these kinds of platforms, for worse and for worse, is to give users what they want. So hallucinations wouldn’t matter, as long as the end result matches users’ preferences.

hooverd 2y ago

Why? Platforms are already bad enough about just suggesting what they think I might like.

ElFitz 2y ago
Because this way they don’t have to rely on pesky people to produce content that maximises the engagement and retention of the other pesky people to which they want to show as many ads as possible. I am not implying this is a good thing. Or a bad one. It’s just a step further down the same path we’re already on, while taking an unreliable and costly middle-man (content producing users) out of the picture.
- hooverd 2y ago
  The AI content mill will sadly never provide me with a 30 minute video on dishwasher detergent or reposted NicoNico gems like this https://www.youtube.com/watch?v=xKljlnfE-GU&pp=ygUJbWlrdSB0Y2Fz https://www.youtube.com/watch?v=xKljlnfE-GU&pp=ygUJbWlrdSB0Y....
  - ElFitz 2y ago
    I never implied it was good thing. Or even something I want. I’m just certain it is an obvious next step given, on one side, these platforms’ goals and incentives, and on the other how generative AI capabilities have progressed in the past couple of years. I’m pretty sure the smart play, if they want diverse, engaging, and surprising content will involve leaving some room for people to create things and somehow reward them for it. But whatever they make won’t only be used as content to show to others, but also as new training data to feed the machine.

mrtesthah 2y ago

Perfect. Once the models are adequately trained, we can do away with the entire "content creator" economy altogether!